Thesis Seminar 2

Thesis Seminar 2

Major Courses

-

School of Economics and Management

4Year

KCCBG4MCA3

2.00Credits

演習 (Seminar)

Fall semester 2026

(Fall semester)

Bishnu Kumar Adhikary,Bishnu Kumar Adhikary

School of Economics and Management

English

Not available

1／2／3／4

10:00-17:00
Room A317 (Research Building 1)
School of Economics and Management

By appointment (adhikarykobejp@gmail.com)

1◎／3◎／4◎

ー

N/a

Ability to keep polishing／Ability to teach and lean on

This course is a continuation of Thesis Seminar I. This course is designed to acquaint students with the theoretical and quantitative skills and knowledge needed to develop and address a research problem. The students will develop critical core competencies and skills needed to carry out enquiries, such as identifying research gaps, defining research questions and objectives, reviewing existing literature, outlining hypotheses, designing research methods that incorporate secondary and primary data collection techniques, sampling and analysis methods, and effective reporting of results. A practical demonstration of time series, cross-sectional, and panel data analysis using E-views and Stata will be given.

Subtitle
Application of data in real life
Keywords
Data, research methods, time series, panel, econometric models, Stata

1: Research definition, types, and finding an exciting topic (research gap).
2: Research questions, objectives, and value addition.
3: Scientific literature review and justification of research questions with hypotheses.
4: Identifying variables and constructs- preparing a conceptual model
5: Quantitative versus qualitative approach
6: Sampling and data collections- primary versus secondary sources of data
7: Econometric modeling
8: Assignment presentation by students
9: Qualitative research- questionnaire design, interview, and content analysis
10: Quantitative research -time series analysis with advanced models
11: Quantitative research - cross-sectional analysis with clustering
12: Quantitative research- panel analysis with fixed effect models and GMM
13: Use of the ARDL model in Stata
14: Assignment presentation by students
15: Final paper

In-person

• In-person classes only
• Not subject to the cap on distance-education credits

Completely forbidden

The use of generative AIis completely forbidden

Introductory Econometrics, 7e, 2019, Jeffrey M. Wooldridge, 826 pages, South-Western Pub, ISBN: 978-1337558860
Basic Econometrics, 5e, Damodar N. Gujarati, and Dawn C. Porter, 2008, McGraw-Hill Education, ISBN: 978-0073375779

Zikmund, Babin, Carr, and Griffin (2013). Business Research Methods, Ninth Edition, South-Western Publishing, ISBN: 978-1-111-82694-9
Using Econometrics- A Practical Guide, 7e, A H. Studenmund, Pearson, 2016. ISBN: 978-0134182742

This is an advanced course in business research. The primary objectives of this course are to help students understand the research process and to enable them to carry out research individually in a systematic manner. Students must attend every class on time and actively participate in classroom discussions. The instructor will provide all necessary reading materials and PowerPoint slides. Students must study for 4 hours weekly to do well on the exam. Students should spend at least 60 hours outside the classroom to achieve good grades in this course.

Teaching methods are mainly based on lectures and practical demonstrations using E-views and Stata. PowerPoint slides will be given to the students before each lecture so they can make the necessary preparations for the forthcoming classes. The instructor will first discuss the concepts and rationales behind each topic to increase students' theoretical knowledge. Then the instructor will solve several problems in class using statistical software. Afterward, students must solve the prescribed exercises and problems at home and discuss their solutions in class. Then the instructor will address all critical issues so students can rectify their mistakes.

Class contributions 20%
Presentation and assignment 30%
Final paper 50%

In the classroom

Must have strong motivation to carry out research. This class will be offered on campus in person. However, some classes may be offered online via Zoom.

Not avialable